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Xingliang Mao

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Open access Sep 2026

CLRFI: A multimodal tracking via contrast learning and region feature interaction

This study proposes a new RGB-T target tracking algorithm, CLRFI, which utilizes the Vision Transformer (ViT) architecture for RGB-T tracking scenarios and implements a comparative learning strategy focused on the target region, thereby optimizing the target’s representation.

Wei-Dai Xia, Ji-Kun Dong, Xingliang Mao et al. · 0 citations

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